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Snakemake workflow for RNA analysis of gene fusions and quantification of transcript expression.
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run on your local machine:
- set up and configure units.tsv in config/ folder
- add your genome & annotation of choice to the resources/ folder
- identify the run folder (where the sequencer saved your run data)
- do a dry-run and check if the right jobs are to be run
snakemake -npr --config runID="20230125_RNASeq"
- run the job locally (choose the correct runID - this can be found in the SampleSheet.csv)
time snakemake -j48 --config runID="20230125_RNASeq"
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conda/mamba and other dependencies
create environment from yaml file (in envs/):
# create the environment (note that conda & mamba have to be installed for this to work):
mamba env create -f envs/s6.yaml
# with this, you can activate the environment with all [dependencies](https://github.com/schimar/rna_fusion_quant/blob/main/workflow/envs/s7.yaml):
conda activate smk6
# if you've added new software to install to the conda environment, then you can update:
mamba env update -f envs/s7.yaml
sbatch code/clusterSnakemake.sh
qsub code/clusterSnakemake.pbs